cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
A side-by-side editorial comparison of betaselectr and epidict — release velocity, themes, recent moves, and the top alternatives to consider.
Standardised coefficients for models where standardising everything is wrong — but the feed only links out
betaselectr computes standardised coefficients selectively, for models where blanket standardisation misleads — interaction terms, categorical predictors and moderated effects, where standardising the product term or a dummy variable produces a number that does not mean what readers assume. It has been on CRAN since November 2024 across three releases. What those releases contain cannot be determined from this feed.
A spin-out dictionary reader for MSF epidemiological data, finding its shape on CRAN
epidict reads and applies the data dictionaries MSF field epidemiologists use to standardise outbreak and survey datasets. It was split out of the larger sitrep toolchain so the dictionary-reading and variable-renaming functions could ship on CRAN independently. Three releases in roughly two months have taken it from that initial separation to handling intersectional dictionaries.
betaselectr computes standardised coefficients selectively, for models where blanket standardisation misleads — interaction terms, categorical predictors and moderated effects, where standardising the product term or a dummy variable produces a number that does not mean what readers assume. It has been on CRAN since November 2024 across three releases. What those releases contain cannot be determined from this feed.
This changelog carries no release content. Every entry is a pointer to the CRAN page and to a changelog hosted on the package's own site, so the direction of development is not readable from what is published here. What the version numbers alone support is a package that reached CRAN in late 2024 and has issued two patch releases since, at roughly six-month intervals, without a minor version bump.
No prediction is supportable from these entries; the feed would need to carry actual release notes, or the package's own site would need to be read directly, before its direction could be called.
epidict reads and applies the data dictionaries MSF field epidemiologists use to standardise outbreak and survey datasets. It was split out of the larger sitrep toolchain so the dictionary-reading and variable-renaming functions could ship on CRAN independently. Three releases in roughly two months have taken it from that initial separation to handling intersectional dictionaries.
The arc is a package being unbundled and then reassembled as its dependencies land on CRAN. The 0.1.0 release deliberately dropped msf_dict_rename_helper() because its dependencies weren't available; 0.2.0 put it back. 0.3.0 is the first release that adds rather than restores, extending intersectional dictionary support and giving callers control over name cleaning.
Expect the next releases to keep widening dictionary coverage rather than changing the API, since the reinstatement work that dominated 0.1.0 to 0.2.0 is now finished.
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either betaselectr or epidict.
A choice-based IRT model published once in 2019 and kept compiling ever since
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
Rebuilding SAS's formatting layer in R, one format specification at a time
Stream-network spatial models learning to run on data that no longer fits in memory
Bioconductor's installer, frozen at 1.30.x and tuned almost entirely through environment variables
Decision curve analysis, settled since 2022 and now moving only when its neighbours do
See all betaselectr alternatives → · See all epidict alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — cran, r-package — within Analytics. betaselectr and epidict are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. betaselectr and epidict are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top betaselectr alternatives in Analytics are ranked by recent ship velocity. Browse the "betaselectr alternatives" section above for the current picks, or visit /alternatives/betaselectr for the full list with editorial commentary on each.
Top epidict alternatives in Analytics are ranked by recent ship velocity. Browse the "epidict alternatives" section above for the current picks, or visit /alternatives/epidict for the full list with editorial commentary on each.